How to Remove Columns From Pandas Dataframe? | GeeksforGeeks

In this video, we're going to discuss how to remove the columns from a Python Pandas DataFrame. There are various methods for removing or dropping columns from Pandas DataFrame such as drop(), drop() with iloc[], iterative method, etc. So, let's understand each of them with the help of live examples.
00:00 Let's Start
00:58 Dropping a Column from a DataFrame Using drop()
02:01 Dropping Multiple Columns from a DataFrame Using drop()
02:27 Dropping Columns Using drop() Based on Column Indices
03:24 Dropping Columns from a DataFrame Using drop() with iloc[]
05:38 Dropping Columns from a DataFrame Using drop() with loc[]
07:16 Dropping Columns from a DataFrame by Iterative Way
08:48 Closing Notes
Download Dataset From [www.kaggle.com/amitabhajoy/be...]
Check Out the Related Articles:
How to Drop One or Multiple Columns in Pandas Dataframe? [www.geeksforgeeks.org/how-to-...]
Complete Pandas Tutorial [www.geeksforgeeks.org/pandas-...]
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This video is contributed by Akshit Madan.
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[@vitorribeirosa]

Thanks for sharing this content. It was very useful!!! Cheers

[@amarsharma9949]

Sir, Is there any way we can copy the data from Share Point to Local

[@mohammeddanishreza4902]

Does it actually delete the column from source dataframe or file ?

[@Charlay_Charlay]

Thanks!

[@misahhere9224]

Thankyou im literally crying

[@kalyanreddygangavaram8016]

How can we remove first column where it is showing index from 0 to N

[@amirmahdijamshidi6513]

in the end you must write index= False ex "merge1.to_excel('Desktop\Pharmacy_update.xlsx', index=False)"

[@user_dies]

Watching one day before exam

[@lohithraj470]

@1:36 you say axis = 1 is columns, but axis = 1 for rows, so?

[@rishabhsinghal3238]

axis=0 (or axis='rows' is horizontal axis. axis=1 (or axis='columns') is vertical axis

[@mwredfern]

its irritating that i use to be able to access and learn from your website, without having to give up my email address to you. i am NOT giving you my email address to create an account, so I can access your site tutorials.

[@keuzl]

LMAO